code: def add_model_specific_args(parent_parser):
      parser = ArgumentParser(parents=[parent_parser], add_help=False)
      parser.add_argument("--hidden_dim", type=int, default=128)
      parser.add_argument("--learning_rate", type=float, default=0.0001)
      return parser
  
file_path: clearml/examples/frameworks/pytorch-lightning/pytorch_lightning_example.py
imports: import sys
  from argparse import ArgumentParser
  import pytorch_lightning
  import torch
  from torch.nn import functional
  from torch.utils.data import DataLoader, random_split
  from torchvision import transforms
  from torchvision.datasets.mnist import MNIST
  from clearml import Task
label_desc: Use image node_id 7 for calling the LitClassifier obj's underlying member method code with example usage: obj.add_model_specific_args(parent_parser) and returns: parser